| Link prediction with personalized social influence Z Huo, X Huang, X Hu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 28 | 2018 |
| Uncertainty quantification for deep context-aware mobile activity recognition and unknown context discovery Z Huo, A PakBin, X Chen, N Hurley, Y Yuan, X Qian, Z Wang, S Huang, ... International Conference on Artificial Intelligence and Statistics, 3894-3904, 2020 | 17 | 2020 |
| Medalign: A clinician-generated dataset for instruction following with electronic medical records SL Fleming, A Lozano, WJ Haberkorn, JA Jindal, EP Reis, R Thapa, ... arXiv preprint arXiv:2308.14089, 2023 | 14 | 2023 |
| Sparse gated mixture-of-experts to separate and interpret patient heterogeneity in ehr data Z Huo, L Zhang, R Khera, S Huang, X Qian, Z Wang, BJ Mortazavi 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 10 | 2021 |
| Predicting the meal macronutrient composition from continuous glucose monitors Z Huo, BJ Mortazavi, T Chaspari, N Deutz, L Ruebush, R Gutierrez-Osuna 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 10 | 2019 |
| Varigrow: Variational architecture growing for task-agnostic continual learning based on bayesian novelty R Ardywibowo, Z Huo, Z Wang, BJ Mortazavi, S Huang, X Qian International Conference on Machine Learning, 865-877, 2022 | 7 | 2022 |
| Sparse embedding for interpretable hospital admission prediction Z Huo, H Sundararajhan, NC Hurley, A Haimovich, RA Taylor, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Density-aware personalized training for risk prediction in imbalanced medical data Z Huo, X Qian, S Huang, Z Wang, BJ Mortazavi Machine Learning for Healthcare Conference, 101-122, 2022 | 3 | 2022 |
| Dynimp: Dynamic imputation for wearable sensing data through sensory and temporal relatedness Z Huo, T Ji, Y Liang, S Huang, Z Wang, X Qian, B Mortazavi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records SL Fleming, A Lozano, WJ Haberkorn, JA Jindal, E Reis, R Thapa, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22021 …, 2024 | 1 | 2024 |
| iCanTrace: Avatar Personalization through Selfie Sketches A Berman, LKC Gottumukkala, Z Huo, S Polsley, F Quek, T Hammond Inspiring Students with Digital Ink: Impact of Pen and Touch on Education …, 2019 | 1 | 2019 |
| INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms SC Huang, Z Huo, E Steinberg, CC Chiang, C Langlotz, M Lungren, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis SC Huang, Z Huo, E Steinberg, CC Chiang, MP Lungren, CP Langlotz, ... arXiv preprint arXiv:2311.10798, 2023 | | 2023 |
| Towards Robust and Generalizable Machine Learning for Real-World Healthcare Data with Heterogeneity Z Huo Texas A&M University, 2022 | | 2022 |
| Predicting food macronutrients from blood biomarkers R Gutierrez-Osuna, JB Mortazavi, Z Huo, GL Coté, NE Deutz US Patent App. 16/871,030, 2020 | | 2020 |
Bobak J. MortazaviComputer Science & Engineering, Texas A&MVerified email at tamu.edu
